J Bus Ethics
DOI 10.1007/s10551-016-3059-0
Neuromarketing: Ethical Implications of its Use and Potential
Misuse
Steven J. Stanton1 • Walter Sinnott-Armstrong2 • Scott A. Huettel3
Received: 26 October 2014 / Accepted: 28 January 2016
Ó Springer Science+Business Media Dordrecht 2016
Abstract Neuromarketing is an emerging field in which
academic and industry research scientists employ neuroscience techniques to study marketing practices and consumer
behavior. The use of neuroscience techniques, it is argued,
facilitates a more direct understanding of how brain states and
other physiological mechanisms are related to consumer
behavior and decision making. Herein, we will articulate
common ethical concerns with neuromarketing as currently
practiced, focusing on the potential risks to consumers and the
ethical decisions faced by companies. We argue that the most
frequently raised concerns—threats to consumer autonomy,
privacy, and control—do not rise to meaningful ethical issues
given the current capabilities and implementation of neuromarketing research. But, we identify how potentially serious
ethical issues may emerge from neuromarketing research
practices in industry, which are largely proprietary and opaque. We identify steps that can mitigate associated ethical
risks and thus reduce the threats to consumers. We conclude
that neuromarketing has clear potential for positive impact on
society and consumers, a fact rarely considered in the discussion on the ethics of neuromarketing.
& Steven J. Stanton
stantonii@oakland.edu
Walter Sinnott-Armstrong
walter.sinnott-armstrong@duke.edu
Keywords Consumer behavior Decision making
Ethics Hormones fMRI Marketing Neuromarketing
Neuroscience
Commercial Alert, a consumer advocacy group, sent a
letter to the president of Emory University in 2003 alleging
that neuromarketing is a significant risk to consumers and
that Emory University should immediately halt all study of
neuromarketing (Grey et al. 2003). In the letter, signed by
academics and leaders of non-profit consumer advocacy
groups, the authors state,
Emory’s quest for a ‘‘buy button’’ in the human skull
is an egregious violation of the very reason that a
university exists. It also likely violates the principles
of the Belmont Report, which sets out guidelines for
research on human subjects in the United States.
They go on to note,
The real risk of neuromarketing research is to the
people—including children—who are the real targets
of this research. Already, marketing is deeply implicated in a host of pathologies. The nation is in the
midst of an epidemic of marketing-related diseases.
The authors then end the letter with this request,
1)
Scott A. Huettel
scott.huettel@duke.edu
1
School of Business Administration, Oakland University, 420
Elliott Hall, 2200 N. Squirrel Rd., Rochester, MI 48309, USA
2
Kenan Institute for Ethics, Duke University, 203B West Duke
Building, Box 90432, Durham, NC 27708, USA
3
Department of Psychology and Neuroscience, Duke
University, Durham, NC 27708, USA
2)
Forbid the BrightHouse Institute [a research group
affiliated with Emory faculty], or any other entity,
from using any Emory University property, equipment, office space or facilities, including its MRI, for
the purposes of conducting neuromarketing research;
and,
Publicly release Emory University’s Institutional
Review Board reviews of the neuromarketing
research.
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These risks were claimed to be inherent in the practices
of the emergent and burgeoning field of neuromarketing—
an area of interest to academicians and industry alike. But,
what defines neuromarketing? And, are these or other
claims of ethical violation legitimate?
What is Neuromarketing?
We consider neuromarketing to be the use of neuroscience
and physiological research techniques to gain new insights
into consumers’ behavior, preferences, and decision making, as well as other aspects of human cognition and
behavior related to marketing. Neuromarketing seeks
information and insights beyond that revealed by traditional techniques such as surveys, focus groups, experiments, and ethnography—with the goals of enhancing
marketing theory and practice (Plassmann et al. 2015;
Yoon et al. 2012) or improving the accuracy of predictions
of consumer preferences and behavior when combined with
traditional techniques (Boksem and Smidts 2015; Smidts
et al. 2014; Venkatraman et al. 2015). Neuromarketing is
sometimes distinguished from consumer neuroscience by
restricting the former to industry applications and the latter
to academic research (Plassmann et al. 2012). For the
purpose of this article, however, we will use the term
‘‘neuromarketing’’ generally, and specify when we are
referring to differences that are peculiar to academics or
industry.
Many techniques are currently in use within neuromarketing. We will offer a brief introduction to some of
those techniques and the nature of the data that they
provide, starting with techniques that measure some
aspect of brain function or activity. Functional magnetic
resonance imaging (fMRI) is a neuroimaging technique
that measures the amount of deoxygenated hemoglobin
(Huettel et al. 2014). That measure is closely linked to
aspects of neuronal activity, allowing fMRI to describe
brain function with excellent spatial resolution (on the
order of one millimeter) and good temporal resolution
(second-by-second changes). The capital costs associated
with an MRI scanner can run several million dollars, and
the marginal costs associated with each person tested
typically run into the hundreds of dollars. In spite of the
costs, fMRI is used to study marketing phenomena. For
example, fMRI was used to record adolescents’ brain
responses while listening to the music of relatively
unknown artists. Three years later, the participants’ brain
responses to the music from the original listening session
were positively correlated with aggregate sales of the
same songs during the 3-year period, which suggested that
neural responses to music could be used to predict future
sales (Berns and Moore 2012).
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A less expensive method of measuring brain activity that
offers excellent temporal resolution (millisecond changes
in brain activity) is electroencephalography (EEG), which
can measure changes in electrical activity in the brain
through electrodes that are placed on the scalp. Compared
to fMRI, EEG has poorer spatial resolution, meaning that it
is harder to pinpoint areas of brain activity, and it also lacks
the ability to measure brain activity that is significantly
distal to the skull—such as in subcortical areas that are
commonly of interest to those who study decision making
(De Martino et al. 2006). As an example of EEG use in
marketing research, Boksem and Smidts (2015) showed
that brain responses (measured via EEG) to movie trailers
were able to account for significant additional variance
above and beyond self-report measures in predicting population-level preferences for the tested movies. Magnetoencephalography (MEG) is related to EEG with similar
temporal abilities, but measures changing magnetic fields
rather than changing electrical activity; its technical complexity means that it has been rarely used for
neuromarketing.
As a group, these brain imaging techniques can also
measure changes in brain activity associated with sensory
experiences like seeing an ad or tasting a product (Plassmann et al. 2008), with thoughts related to making a
financial decision (Kuhnen and Knutson 2005), with
spreading information via word-of-mouth (Cascio et al.
2015), and with many other marketing phenomena (Esch
et al. 2012; Plassmann and Weber 2015).
As an alternative approach to brain imaging, researchers
can measure aspects of peripheral physiology such as heart
rate, respiration, skin conductance (hand sweating), pupillometry (pupil dilation), eye tracking (recording exactly
what a consumer is looking at by tracking their eyes), and
more (Reimann et al. 2012; Venkatraman et al. 2014).
Researchers can then relate the measured aspect of physiology to consumers’ experiences. For example, consumers’
pupils may dilate in response to certain goods more than
others. Bodily fluid samples (saliva, blood) also contain
factors like hormones or genetic information that can be
collected almost anywhere (Schultheiss and Stanton 2009),
and can also be used to predict consumer behavior. For
example, one might measure the relationship between
individuals’ testosterone levels and their willingness to
make risky financial decisions (Sapienza et al. 2009;
Stanton et al. 2011a, b).
Neuromarketing can involve more than just measurements of brain activity and physiology; in laboratory
environments, direct manipulations of the brain or physiology allow for causal conclusions to be drawn about
marketing-relevant processing. For example, it is possible
to administer testosterone (v. placebo) to a subject in the
lab and measure changes in their decision-making
Neuromarketing: Ethical Implications of its Use and Potential Misuse
Table 1 Principle techniques used in neuromarketing research: advantages and disadvantages
Technique
Measure
Advantages
Disadvantages
Examples
Functional magnetic resonance
imaging (fMRI)
Localized brain areas’
oxygen use
Good temporal precision (sec)
High cost
Plassman et al. (2008)
Excellent spatial resolution
Restrictive environment for subjects
(Berns and Moore
2012)
Electroencephalography
(EEG)
Localized brain areas’
electrical activity
Least expensive brain imaging
Limited spatial resolution, especially of
subcortical regions
Telpaz et al. (2015)
Hormones (e.g., testosterone,
menstrual cycle)
Hormone concentration
in saliva, blood, etc.
Low cost
Eye tracking
Target of gaze
Unique measure of attention
Pupil diameter
Low cost
Brain imaging
Excellent temporal resolution
(msec)
Pozharliev et al. (2015)
Physiology
Less temporally precise
Stanton et al. (2011a)
Durante et al. (2011)
Can be non-invasive
Collected in field and lab
Difficult to attribute valence to eye
movements
Meissner et al. (2015)
Excellent temporal resolution
(msec)
Skin conductance
Venkatraman et al.
(2012)
Rate of hand
perspiration
Measure of general arousal
Not specific to particular emotions
Reimann et al. (2012)
Transcranial magnetic
stimulation (TMS)
Transient inhibition or
enhancement of local
brain function
Reveals causal role for brain
regions
Limited temporal resolution
Camus et al. (2009)
Drug administration/
neurotransmitter depletion
Transient changes in
brain chemistry
Causality with regard to specific
neurochemicals
Often requires physician oversight
Interventions
Can only test 1 brain region at a time
Lichters et al. (2015)
* This list is not exhaustive. Other measures such as facial EMG, heart-rate variability, pupillometry, MEG, and more will likely be used in
research
** All techniques listed require significant training to be used with precision, validity, and reliability
processes (Eisenegger et al. 2010; Lichters et al. 2015).
Alternatively, recent advances have made it possible to
deplete the body of specific physiological factors; for
example, drinking a special sort of protein shake can greatly
reduce brain levels of the neurotransmitter serotonin, which
is critical for mood (Wang et al. 2009). Similar to administration techniques, assertions of causality regarding subsequent changes in behavior are possible with depletion
approaches. Lastly, brain activity can be directly manipulated with transcranial magnetic stimulation (TMS). TMS
uses magnetic fields that effectively ‘‘knock out’’ a specific
area of the brain, which temporarily reduces the ability for
the person to recruit that area of the brain. Once that area of
the brain is transiently ‘‘knocked out’’, researchers can
measure resulting changes in behavior. For example, using
TMS on an area of the prefrontal cortex decreases consumer
value for food (Camus et al. 2009). Similar to TMS, transcranial direct current stimulation (tDCS) is a technique that
passes direct electrical current into areas of the brain, which
subsequently alters blood flow and neural activity in the
targeted brain region (Table 1).
Innerscope ResearchÒ, a for-profit neuromarketing
research company recently acquired by Nielsen, notes that
‘‘combining multiple measures means more comprehensive
insights (Innerscope 2014).’’ We agree. In concert, the
existing suite of neuroscience methods can add substantial
insights and predictive power to marketing research
(Plassmann et al. 2015; Venkatraman et al. 2015). Yet, in
our view, it is critical to note that neuroscience methods
and the data they yield should not receive privileged status
as a research method in marketing or any other behavioral
discipline. In contrast to our view, neuromarketing companies commonly claim that neuroscience provides a
golden key to the brain that can unlock hidden secrets
about consumer preferences. They claim to have found
what others fear as a ‘‘buy button’’ in the brain. We claim,
instead, that neuroscience techniques are but one of the
many methods that allow us to refine and improve our
predictions of consumer behavior. Surveys, focus groups,
experiments, and other traditional research techniques may
be more or less valuable depending on the application and
research question, but neuroscience techniques should not
receive privileged status or be considered incontrovertible
(Clithero et al. 2008; Levallois et al. 2012). In many
applications, traditional marketing research techniques will
still account for the greatest portion of the variance in
consumer behavior.
The techniques described above vary not only in the
nature of the data they provide and the brain functions they
track but also in terms of their frequency of use by
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academics and industry. This variability is principally
driven by a cost-benefit analysis. Generally speaking,
neuromarketing research is expensive to conduct. Set-up
costs are very high for fMRI (millions of dollars), but are
much lower for eye tracking and endocrinology (tens of
thousands of dollars). The measurement of hormones is
currently being used by academics (Durante and Arsena
2015; Durante et al. 2011; Saad and Vongas 2009; Stanton
et al. 2011b), but is not widely used in industry. By contrast, eye tracking has become quite popular in industry as
a function of its low cost, its ability to be done in a wide
variety of locations, and its close tie to advertising since it
directly measures at what consumers are looking with high
temporal resolution. NeuroFocus, a neuromarketing company, employs a wireless EEG that consumers can wear in
naturalistic settings; this system omits some of the procedures of laboratory EEG studies (e.g., using a gel to
improve contact with the scalp) in order to increase convenience and portability. New companies are emerging to
offer low-cost neuromarketing tools for industry uses, but
the validity of the data emerging from these tools is highly
contingent on the training and competence of those collecting and interpreting the data.
Neuromarketing research also varies in the marketing
goals that it pursues. Market segmentation is a functional
way of dividing consumers into groups with shared needs
and preferences. This is often done via demographics like
age or psychographics like impulsivity, but it may be
possible to segment consumers by brain differences that do
not directly map onto demographics or psychographics
(Venkatraman et al. 2012). Pricing strategy is another area
in which neuromarketing can prove useful (Karmarkar
et al. 2015). Plassmann et al. (2008) demonstrated that
fMRI can be used to show differences in brain activation in
response to drinking the same wine at different price
points, suggesting that the hedonic experience of drinking
wine changes based on its price.
Product and brand development are also fertile ground
for neuromarketing (Esch et al. 2012; Plassmann et al.
2012; Pozharliev et al. 2015; Reimann et al. 2012). In one
of the earliest consumer neuroscience studies, McClure
et al. (2004) demonstrated that brain activation in response
to drinking Coke vs. Pepsi was heavily influenced by
brand activation, particularly in regions associated with
determining the value of a stimulus. Studies such as this
could examine the effectiveness of both sensory information (flavor) and brand information (label) on consumer
choice via brain activation in areas associated with reward
and valuation. Once a product is developed, numerous
decisions are made regarding how to position, promote,
and advertise the product. Academic research has also
provided evidence that neuromarketing can effectively
enhance such promotional practices (Reimann et al. 2010).
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For example, Stallen et al. (2010) showed that the medial
orbitofrontal cortex, an area associated with coding value,
was more active when products were paired with celebrities, offering neural evidence for the transfer of positive
information from celebrities, models, etc., as is commonly
conferred through classical conditioning in advertising.
Considered together, the studies described above offer
specific examples of neuroscience-derived insights into
consumer behavior that can advance academic research
and lead to novel manipulations of the marketing mix in
industry.
Ethical Issues in Neuromarketing: Perception
or Reality?
The canonical criticisms of neuromarketing—which arose
at its inception and have remained prevalent today—include unethical research practices, unethical applications of
technology, and manipulations of consumers. Yet, despite
these criticisms, the volume of academic research in neuromarketing and related areas has grown steadily and now
over 200 neuromarketing research and consulting firms
have been founded across the globe (Plassmann et al.
2012). With the growth of the field, criticisms and fears of
neuromarketing’s purported power have not yet subsided—
if anything they have grown.
As our opening quotations illustrate, most ethical
objections to neuromarketing refer to risks of harms and
violations of rights. The relevant harms include both
immediate effects on individual consumers and long-term
effects on society as a whole. The purported rights include
positive rights to privacy, autonomy, and dignity as well as
negative rights not to be deceived, subjected to experiments without consent, or used as a means only. Some of
these rights are widely recognized and even codified in
generally accepted principles for research practice, such as
the Belmont Report (1979). The objections to neuromarketing (as well as our responses) do not depend on any
particular ethical theory but, instead, appeal to what are
supposed to be commonsense ethical restrictions that apply
to neuromarketing. Future ethical analysis of neuromarketing has the potential to utilize the lens of specific ethical
theories.
Some of these fears regarding neuromarketing are
widespread, and they carry the trappings of an ethical
challenge, but we will argue that most of them do not raise
distinctive or realistic ethical issues. Some of these fears
are not distinctive of neuromarketing, because they do not
involve any new controversy beyond that attributable to
traditional marketing (Nill and Schibrowsky 2007). Most
of the new ethical dangers that are attributed to neuromarketing turn out to be unrealistic, because they assume
Neuromarketing: Ethical Implications of its Use and Potential Misuse
that neuromarketing has powers that it cannot obtain in the
near future. Only a few ethical issues arise that are both
distinctive and realistic, and we will discuss solutions that
could mitigate those concerns.
Predicting Consumer Choice
The first commonly perceived, potential ethical issue is the
fear that neuromarketing may render consumers’ choices
completely predictable. Notably, similar criticisms regarding the prediction of consumer choice have been applied to
traditional marketing research and practice, but are perhaps
most accentuated in neuromarketing (Wilson et al. 2008).
Recent and provocative research seems to herald the power
of neuromarketing, as when fMRI has been used to predict
individuals’ choices and purchase decisions (Knutson et al.
2007; Smith et al. 2010; Soon et al. 2013), as can EEG
(Telpaz et al. 2015). Knutson et al. (2007) demonstrated that
brain activity could predict a consumer’s choice (for food
goods) above and beyond self-report information about
preferences, which indicates that neuromarketing can add
important contributions to traditional marketing research
methods (Venkatraman et al. 2015). Despite the narrowness
of the conclusions drawn from this or any other one study—
each of which provides information about brain predictors
of choice in a single context—some critics see such studies
as a potential violation of consumers’ rights to privacy
(Murphy et al. 2008). If neuroscience methods offer a portal
into consumers’ minds and extract information that consumers themselves do not know, it is argued, then neuromarketing provides a tool that can identify our choices even
before we make them.
This fear is not substantiated on multiple levels. First,
most consumers do not have their brains scanned or give
hormone samples to researchers; that only happens in the
context of experimental research studies. Thus, an individual consumer is not the direct subject of a privacy
violation. Instead, conclusions are drawn based on generalization to the public from a small experimental sample, as
in existing marketing research (and biomedical and
behavioral research). Second, those who do participate in
academic research go through an informed consent process
in which they are informed of the risks of participating and
the goals of the study. For those who participate in research
conducted by a neuromarketing company, there may arise
privacy issues that we will discuss later, but for everyone
else, privacy concerns do not seem to be a major ethical
obstacle to neuromarketing.
Another fear is that companies who predict consumer
choices will see and treat their customers as mere robots or
automata without freedom or dignity. The public sometimes seems to interpret neuromarketing results as deterministic predictors of their behavior derived from hard
science. This perception may be enhanced in cases where
findings are overstated as is common for neuromarketing
firms.1 Many people find this view of consumers as
determined mechanisms to be demeaning, dangerous, and
immoral. The charge, then, is that neuromarketers treat
consumers as if consumers were only things to be used as
mere means to the neuromarketers‘ ends. This kind of
mistreatment is the very essence of immorality, according
to the moral philosopher Immanuel Kant:
Beings whose existence does not depend on our will
but on nature, if they are not rational beings, have
only a relative worth as means and are therefore
called ‘things’; on the other hand, rational beings are
designated ‘‘persons’’ because their nature indicates
that they are ends in themselves, i.e. things which
may not be used merely as means. (Kant, 1785/1959,
p. 46)
Thus, this objection has deep roots in history and culture.
Neuromarketing does not depend on this disreputable view of consumers for at least two reasons. First,
neuromarketing predictions are probabilistic rather than
deterministic. Neuromarketing firms need not claim that
consumers’ behavior is completely determined; rather, they
can admit that consumers are free to stop themselves from
buying the products. All neuromarketing firms need to
claim is that consumers are more likely to buy certain
products in some circumstances than in other circumstances, which is the overarching goal of marketing
research regardless of technique. Consumers can be predictable to this extent even if they are free (Suhler and
Churchland 2009). Perhaps, if consumers’ choices were
totally predictable through either traditional or neuromarketing research, then consumers might come to be seen as
mere things with only relative worth rather than as persons
(in Kant’s sense). This result might undermine their dignity
and respect for them as persons. However, the field is not
remotely close to this level of prediction, and it is unlikely
to ever achieve such certainty in practice.
Second, even when neuromarketing firms predict consumers’ choices, they need not treat consumers as mere
means (in Kant’s terms). Instead, they can help consumers
obtain the products that those consumers want, and have
reason to want, in a more efficient manner, which is a
positive practice and common goal in marketing (Keller
2000). Predicting behavior is very different from coercing
consumers against their wills, so prediction need not deny
1
We are not highlighting the practices of specific neuromarketing
firms. Rather, in our survey of websites, the vast majority of
neuromarketing companies described their capabilities in a manner
more generous than would be reasonable, given the published stateof-the-art in the academic literature.
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or undermine the rationality or the dignity of the people
whose behavior is predicted.
Influencing Consumer Choice
A second commonly perceived, potential ethical issue is the
fear among consumers that neuromarketing can be used to
go beyond prediction and influence consumer choice. Successful neuromarketing, it is argued, might rob consumers of
control and make the marketed goods irresistible. Of course,
shaping consumers’ choices is the goal of marketing generally, but does neuromarketing offer firms a unique and
novel ability to find a ‘‘buy button’’ in the brain?
While neuroscience might help improve predictions of
consumer choice, there is no current evidence of a ‘‘buy
button’’ in the brain. There are areas of the brain that code for
value and reward (Clithero and Rangel 2013), particularly
anticipation of reward (Knutson et al. 2001). Things that are
more rewarding or more valued activate these areas more
intensely, but this is not equivalent to a ‘‘buy button’’.
Neuromarketing provides no special path—even in principle—for optimizing a marketing message to render consumers unable to control their actions; for example,
neuromarketing could not create a menu description of an
entrée that compels patrons to purchase that item, any more
than traditional marketing techniques could. Moreover, even
if this were possible, it would be impractical to target an
individual to determine the optimal stimuli for their choices.
Critics might reply that, even if neuromarketing cannot
force consumers to buy certain products, they can still
influence purchases, and there is something unethical when
the influence works below the level of consciousness. This
fear is to some extent not new or distinctive of neuromarketing. James Vicary popularized the concept of subliminal marketing in the 1950s (Rogers 1992). Vicary
claimed to be able to enhance sales of movie theater concessions by subliminally embedding marketing messages
into the movie footage. In response, notable outlets such as
The New Yorker argued that consumers’ minds were being
broken into (Moore 1982). Vicary admitted to fraud years
later, but the concept of subliminal marketing was broadly
absorbed by the public, which created fears of usurping
consumers’ control over their decisions.
In an irony, recent research has shown that supraliminal
but unattended primes can have significant effect on consumer behavior (Ferraro et al. 2009; Fitzsimons et al.
2002). There is growing evidence that marketing information to which consumers are exposed to can strongly
influence their choices, even when the consumers had no
conscious awareness that their choices were being influenced or that they were exposed to brand information. For
example, a study by Ferraro et al. (2009) manipulated the
number of times consumers were exposed to photographs
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of Dasani bottled water. At the end of the experiment,
consumers were able to choose bottled water of one of four
brands, including Dasani. The consumers who had repeated
exposure to Dasani, but had no conscious awareness of the
brands to which they were exposed, were much more likely
to pick Dasani water rather than the competition (Ferraro
et al. 2009). Experiments can clearly and causally demonstrate the power of marketing manipulation on consumers’
behavior that operates outside of conscious awareness.
These studies demonstrate that behavioral research can
elucidate strategies to influence consumers’ choices outside
of their awareness. They also show that neuromarketing
does not deserve any special moral opprobrium and is
certainly not the only way to influence consumers outside of
their conscious awareness (Chartrand 2005).
Critics might respond that all such unconscious influences—whether neuroscientific or not—remove control, but
this reply conflates consciousness with control (Suhler and
Churchland 2009). The fact that a consumer is influenced by
repeated pictures of Dasani water does not prove that this
consumer had no control over which water she picked. If she
had not wanted Dasani, or if she had had a strong enough
reason to pick another kind of water, then she might have
picked another kind. Consumers might have more control
when they are consciously aware of what influences them,
but that does not mean that they lack all control when they
are not consciously aware of what influences them.
While neuroscience techniques are not necessary to
influence consumers outside of their conscious awareness,
recent research demonstrates that the field is close to being
able to use uncontrollable physiological factors to predict a
consumer’s preferences and willingness to purchase goods.
This is not merely a hypothetical scenario looming in the
far future. A recently published study showed that a
woman’s menstrual cycle predicts her likelihood of wanting ‘‘sexy’’ clothing and accessories compared to ‘‘nonsexy’’ clothing and accessories. When women were near
ovulation, they were more interested in buying ‘‘sexy’’
clothes and accessories (Durante et al. 2011). Women’s
menstrual cycles have also been shown to predict preferences for goods that increase a woman’s status relative to
other women, like diamond rings and automobiles (Durante
et al. 2014), as well as interest in food consumption and
other appearance-related products (Saad and Stenstrom
2012). The menstrual cycle is an aspect of physiology that
women cannot control and that also predicts shifts in their
preferences as a consumer (Durante and Arsena 2015).
A company could incorporate such information into a
forecast model of purchasing behavior. For example, take
an online clothing retailer who can track the purchases of a
repeat customer and look for trends in purchases that cycle
around a 27–30 day window. Email advertisements could
promote sexy clothes at strategic times (periovulation)
Neuromarketing: Ethical Implications of its Use and Potential Misuse
enhancing the likelihood of purchase as predicted by the
consumer’s menstrual cycle. Similarly, goods that Amazon
offers or promotes to a specific female customer could
subsequently be tailored to some inferred knowledge of
that consumer’s menstrual cycle, which enhances that
consumer’s likelihood of purchase.
The measurement of physiological factors, such as
hormones or hormone cycles, is much less expensive and
sometimes more applicable in today’s research environment compared to fMRI or other forms of neuroimaging.
Some companies have already used related approaches. For
example, TargetÒ intentionally developed strategies to
discern when pregnant women are at certain stages of
pregnancy to capture them as customers through tailored
advertising (Duhigg 2012), which they believe to be a key
period transition during which customer can be swayed to
purchase a whole host of child-related goods via targeted
advertising and promotion. Since Target sells a wide
variety of goods, they can then transition consumers
through subsequent life stages with targeted incentives,
thus developing a consumer with high likelihood of repeat
purchases.
Such physiology-based marketing allows consumer
choices to remain free, even if they are significantly
influenced by physiological factors that consumers cannot
control. Moreover, this ability to predict and influence via
physiology is not distinctive of neuromarketing, because
the same ability is provided by behavioral studies that also
reveal ways to influence consumer choice outside of the
conscious awareness. In both cases, consumers are unaware
of factors that influence their choices, but they still make
free choices.
Ethical Issues Associated with Introducing
Neuroscience into Marketing
Academia versus Industry (Consumer Neuroscience
vs. Neuromarketing)
Neuromarketing is an area of active research among academics, and it is also a source of profit to over 200 neuromarketing companies worldwide, a number that has
grown from just a handful 5 years ago (Plassmann et al.
2012). Academic and industry neuromarketing have very
different goals. For academics, a primary goal is public
dissemination of knowledge, as seen in the publishing of
protocols and data in peer-reviewed journals. For industry,
a primary goal is to develop a comparative advantage of
one’s competition, which leads to private collection of data
and development of proprietary analysis approaches.
Academics and industry also have different approaches to
interpreting and implementing results in guiding future
practice. Academics tend to run experiments and evaluate
their results using stringent thresholds that protect against
the possibility that their findings occurred by chance and
are not representative of a truly significant result (for
example, a tolerance of less than a 5 % chance that the
experimental result is untrue is commonly used). In contrast, in industry, forecasting is key, and a 75 % likelihood
of predicting an outcome can be a gamble worth taking
when a managerial decision involves millions of dollars.
As a function of these different sets of priorities and
approaches, both academic and industry neuromarketing
researchers may be prone to significant ethical challenges.
Methodological Rigor
The goal of profit maximization might not lend itself
thorough scientific practice. Scientific results are worthwhile only if the methods used to collect the data are
sound. Yet, industry clients who hire neuromarketing
firms are not likely to have sufficient background
knowledge to evaluate the methods used to collect and
analyze neuroscience data. Neuromarketing firms may be
incentivized to utilize poor research methods, gather
insufficient sample sizes, hire undertrained personnel, and
so on, if they can still convince the client that the data are
useful. In addition, neuromarketing firms are incentivized
to exaggerate their capabilities and potential deliverables
to attract clients. Unlike the academic world, neuromarketing firms lack peer review when they report results to
clients, and peer review protects against the risk of
overstating of results. While peer review may not currently be a part of conventional marketing practice in
industry, neuromarketing firms are new in the marketing
landscape and the established rules for quality work and
deliverables are not as clear as with traditional methods
for market research. Moreover, neuromarketing firms tend
to maintain proprietary control of data they collect.
Neuromarketing firms also do not tend to publish or share
their data collection protocols. This opacity means that
the extent to which neuromarketing companies’ data are
valid, or in correspondence with their promotional claims,
remains unclear. Ideally, neuromarketing firms that do not
produce deliverables derived from rigorous methods
would eventually be overtaken by firms that gain competitive advantage through using rigorous methods and
producing valid and reliable data. Such firms will better
aid their clients in making accurate predictions in the
marketplace through their higher quality research.
In response to the potential issue of lacking methodological rigor in industry and the difficulty for corporate
clients to evaluate the quality of the data they are purchasing, the Advertising Research Foundation (ARF), an
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S. J. Stanton et al.
industry network of marketing research companies and
professionals, has launched 2 initiatives within the last five
years: Neurostandards 1.0 and Neurostandards 2.0.
Through these initiatives, the ARF is collaborating with
several for-profit neuromarketing research companies in an
effort to validate research methods, develop a more standardized set of research practices, and create more digestible
ways for businesses to be informed consumers of neuromarketing research that focuses on evaluating advertising.
The ARF is also offering academic peer review of methods
and results to the industry participants in the Neurostandards
initiatives; this has the potential to enhance the quality of
research in the field. Yet, only a handful of neuromarketing
companies are participating in the ARF’s initiatives. As
such, these potential issues regarding methodological rigor
remain important in moving forward as more neuromarketing companies continue to join the industry.
In contrast to industry, the overstatement of results or
capabilities is less likely within academia, since the peerreview publication system that is applied to published
research is designed to ensure methodological rigor and
accurate interpretation of results. In that sense, academic
science utilizes peer review as a self-correcting feature.
Yet, academics are not free from performance incentives
that can compromise data quality—there are numerous
cases of academic researchers who published completely
fraudulent data in a quest for tenure, promotion, and other
incentives, which upon discovery has led to the retraction
of many published journal articles. Thus, overstatement is
still possible within academia, as in industry.
Board (IRB) that oversaw the study and the IRB protocol
associated with the study as well as procedures for gaining
informed consent. In addition, the full publication of all data
collection protocols, raw data, and data analyses would allow
for independent replication of results, which would approach
the standards used in clinical trials. While we anticipate that
virtually no neuromarketing firms would agree to this, we
contend that full transparency would be the single best way to
convey the highest level of research competence—and could
lead to a shift in the market such that firms attract clients
because of the rigorous and thoughtful way they use wellvalidated experimental procedures, not because they have
developed new (and often questionable) unique methods for
measuring brain function.
In spite of the potential benefits, neuromarketing firms
are unlikely to move to full transparency. A first step would
be to adopt science advisory boards composed of scientists
trained in the techniques that the company employs. This
approach would allow neuromarketing companies to
maintain proprietary control of the data and method protocols, while reaching a higher level of methodological
scrutiny. The flaw with this approach is that the members
of scientific advisory boards (of any company, not just
neuromarketing) are often monetarily incentivized, which
can lead to captured boards. In other words, the scientific
review boards are not truly independent from the company.
Independent scientific review boards would reduce the
potential for bias derived from compensation directly from
the company.
Quality Certification
Transparency
In an effort to address the greater risk regarding neuromarketing in industry, we propose that there would be
benefits to clients and consumers if neuromarketing companies adopted policies of data and protocol transparency.
Some firms have made efforts in this direction, for example, Innerscope has released excerpts of several of its
studies (Innerscope 2014), albeit only short synopses of the
goals of the projects and cursory summaries of the findings
and conclusions. Also, those companies participating in the
ARF’s Neurostandards 1.0 and 2.0 (which includes Innerscope) are also moving toward transparency via peer
review of their methods and reporting of results by academics on ARF’s review panel. Yet, it remains unclear
whether all participating companies will fully share the
reviews that they receive from ARF. These are steps in the
right direction, but remain below the level of transparency
that would be ideal.
What would such transparency entail? Key aspects would
include information regarding the Institutional Review
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In response to the ethical issues raised, the neuromarketing
industry may also benefit from third-party quality certifications that ensure ethical treatment and protection of
subjects as well as methodological rigor are being strictly
employed. To some extent, the ARF Neurostandards initiatives are a first step in this direction, but more could be
achieved. We believe that a third-party group could be
organized with the goal of delivering a quality certification
that would allow consumers of neuromarketing research to
make a more informed choice regarding the product that
they are purchasing. The need for this may be unique to
neuromarketing research compared to traditional marketing
research, because neuromarketing research methods are
technically sophisticated and lack the tractability of traditional marketing research methods. Energy Star certification in the appliance manufacturing industry and
Leadership in Energy & Environmental Design (LEED)
certification in the construction industry are analogous to
what we propose. For both examples, the certification is a
marker of specific performance standards, is evaluated by a
Neuromarketing: Ethical Implications of its Use and Potential Misuse
third-party group, and is optional to firms in the field—but
has nevertheless attracted significant interest because it is
seen as a competitive advantage in a crowded marketplace.
Privacy
One might also consider how close neuromarketing data
are to private health information, which implies a different
type of privacy threat. Consider the typical approach of
collecting data about brain function using, say, fMRI. As
already discussed, the fMRI data extracted from a neuromarketing experiment are highly contextualized and
specific to the experiment at hand. In contrast, structural
MRI, which creates a structural map of one’s brain but does
not measure brain activity, is more closely equated to other
clinical private health information (such as HIV status,
pregnancy, mental illness, cancer, terminal illness, and so
on), in that structural MRI can contain information
regarding pathology, tumors, and structural malformations
in the brain. Such information could potentially be used to
discriminate against individuals. Structural MRI is always
acquired in conjunction with fMRI, and participating in
neuromarketing studies using fMRI would mean that
companies have access to one’s structural MRI data. In the
absence of informed consent, which is a significant problem in industry, the ways in which such data could be used
or sold to other companies would be unclear to research
participants and to some extent unregulated.
Notably, even the broad ethical issues in this present section
can be generalized to marketing research. For example, privacy
violations could occur in traditional marketing research if
participants divulge private health information on a survey
(instead of through fMRI), and that information was then used
to harm or discriminate against those participants in the future.
Herein, we focused on specific ethical issues that derive directly
from the neuroscience techniques in use in current neuromarketing research.
Shared Ethical Issues for Both Marketing
and Neuromarketing
After highlighting the ethical issues that are more specific
to neuromarketing, it is critical to be clear about the issues
that are shared in both marketing and neuromarketing. If
ethical issues are not specific to neuromarketing, they may
still be ethical issues that are equal problems for both
marketing and neuromarketing.
One problem for consumers that could arise from marketing and neuromarketing might be increasing prices.
Consumers may have to pay more for a product if it costs
more either because of the expenses of neuromarketing or
because the neuroscience research gives greater pricing
power to the company (Plassmann et al. 2008); market
solutions are likely to suffice for such problems, since
neuromarketing will exist within a landscape dominated by
traditional marketing methods for the foreseeable future. A
second problem might be fueling consumerism. Imagine
that neuroscientists test potential advertisements to find out
which designs have the desired effects on attention and
motivation to buy. Again, that seems fine if the only effect
is for consumers to choose one equally good or better
product instead of another. However, more powerful
advertisements can be harmful if they create new desires
for products that are inferior or that the consumer does not
really need. Similar problems arise if advertisements
increase desires beyond what is good for the consumer,
because then the consumer might be induced to pay much
more for as product that does not do much good at all for
the consumer. The basic fear, then, is that neuroscience
might make advertisements much more powerful and
might thereby create new desires or strengthen existing
desires in ways that are detrimental to the lives of consumers. These fears may also be attributable to effective
use of traditional marketing research techniques.
Another problem at present is that both marketing and
neuromarketing companies are often not subject to oversight by an Institutional Review Board (IRB) to ensure
ethical conduct of research. The extent to which companies
can conduct behavioral research without IRB oversight has
long been a subject of debate and continues to be contentious even outside neuromarketing (Joffe 2014;
Maschke 2008; Wagner 2003). For example, FacebookÒ
recently coupled with academic researchers to conduct a
study that intentionally manipulated nearly 700,000 users’
mood states without users’ consent (Kramer et al. 2014).
The company received significant public backlash for not
acquiring users’ informed consent in advance of participating in the study (BBC 2014). Informed consent is a
standard practice for academic research involving human
subjects, but it is not always used by for-profit research
firms. Compared to other industry-related ethical violations
[e.g., drug testing in the developing world in which pharmaceutical companies have hidden adverse events related
to experimental drugs (Kelly 2013)], the Facebook study
was innocuous, but note that it was held to a higher level of
ethical scrutiny than most industry research precisely because the results were published in a transparent manner in
an academic journal (Kramer et al. 2014). This transparency is exactly what firms avoid altogether by keeping
data and protocols proprietary. That practice thereby poses
potential harm to consumers and clients of neuromarketing
research firms.
The ability of marketing or neuromarketing to exacerbate poor decision making or to enhance the likelihood of
123
S. J. Stanton et al.
purchasing goods that do not benefit the consumer is also a
legitimate concern. Consider smokers or others who have a
dependence on cigarettes—and for whom smoking cravings enhance brain responses to smoking cues, such as
pictures of cigarettes (McClernon et al. 2005). In product
development, fMRI could allow cigarette manufacturers to
test new varieties of cigarettes or advertising materials that
could engage brain systems associated with reward and
reinforcement that could have higher addiction profiles.
Such practices would be questionable ethically because of
the links between cigarette smoking and cancer as well as
other negative health outcomes. When marketing techniques, including product development, increase purchases
of harmful products, the marketing itself can be harmful.
Notably, this ethical problem arises just as much for traditional marketing as it does for neuromarketing, and
regardless of approach, consumer harm could result (Nill
and Schibrowsky 2007).
The issues of predicting consumer choice and influencing consumer choice also remain potential ethical issues in
the future for both marketing and neuromarketing. Open
questions in this domain are: To what extent do consumers
need to be influenced or predictable before an ethical
violation has occurred? In addition, what is the best
recourse—regulation of industry, consumer education? For
example, in the United States, television and radio advertising for cigarette manufacturers has been governmentally
limited since 1970 by the Public Health Cigarette Smoking
Act, as cigarettes were perceived as a sufficient threat to
public health. In addition, subliminal advertising remains
illegal in the United States under regulations outlined by
the Federal Communications Commission as a measure of
consumer protection. To what extent does a product have
to be harmful to be restricted from advertising or a research
technique too effective before intervention is necessary?
As noted with the examples specific to the United States,
different countries or cultures may have different answers
to these questions. Thus, solutions to these issues will
likely remain a topic of debate for decades to come.
In addition to the issues regarding the prediction and
influence of consumers’ behavior raised heretofore, we will
offer a hypothetical example that some consider possible to
arise in the future of neuromarketing. An example of a
potential future problem might be that neuroscience could
give salespeople an unfair advantage. Suppose that a lab
study with eye tracking is used to guide jewelers on how to
lay out their wares in a display or car dealers on how to
design their showrooms so as to maximize sales. Here the
target is customers in general. Contrast this possibility with
another that is further off in the future (if it ever becomes
practical). Imagine that a car dealer, rare art dealer, real
estate agency, or jewelry store installs an eye tracker system that monitors pupil dilations in individual customers in
123
order to discover how attracted each customer is to individual items for sale. This information is then secretly
supplied to sales people, who use that information surreptitiously in negotiations over prices. When the jeweler finds
out through the customer’s involuntary eye movements that
this particular customer is strongly attracted to a particular
necklace, then this information could signal the jeweler to
negotiate hard and thereby enable the jeweler to sell the
necklace for a much higher price. The jeweler benefits, but
the customer gains nothing, assuming that she would have
bought the necklace at a lower price if she had been able to
hide her preferences. Moreover, the new source of information might seem unfair if the customer does not know
that the jeweler has access to it, and if the customer does
not know how to hide or mislead, as many customers can in
traditional negotiations.
While this scenario raises ethical problems, are those
problems particular to neuromarketing? We cannot yet
manipulate negotiations with eye trackers as the preceding
scenario imagines. To do so would require not only new
technology but also expense too great for all but the most
expensive items. In the meantime, experienced sales people
are already able to use body language, gaze, and voice
modulation to detect preferences that customers do not know
that they are revealing. Yet, we allow sales people to negotiate hard when they know that a customer strongly desires a
necklace, car, sculpture, or house. We also allow advertisements that create new desires or strengthen desires so that
consumers buy products that do not improve their lives.
Thus, even if some of these problems do raise moral qualms
about neuromarketing, those same qualms should exist just
as strongly in reference to marketing that has nothing to do
with neuroscience (Nill and Schibrowsky 2007).
The ethical issues we raise are not easily addressed by
future research as the issues themselves arise from
research. However, there may be utility to be extracted
from future research on consumers’ perceptions of neuromarketing. Many alleged concerns emerge from consumer
advocacy groups. In contrast, concerns regarding neuromarketing practices in the general population are not presently characterized, and if characterized may offer a
roadmap for consumer education a regarding neuromarketing practice, both in academia and industry.
Counterpoint: Benefits to Consumers
via Neuromarketing
The arguments that we have put forward have focused
mainly on the risk and potential for negative outcomes as a
function of neuromarketing. This emphasis misrepresents
the full implications of neuromarketing’s future, so we
want to close by balancing the scales. Neuromarketing, if
Neuromarketing: Ethical Implications of its Use and Potential Misuse
used responsibly, has the potential to enhance consumers’
experiences as well.
A fundamental goal of marketing is to understand and
address consumers’ needs. As a function of the deeper
understanding of consumer needs that can emerge from
neuromarketing research, firms may be able to produce
more desirable products, create more enticing promotional
marketing materials, and enhance consumers’ experiences
(Plassmann et al. 2008; Reimann et al. 2010). While it is
true that enhanced product development through using
neuroscience methods can give firms added potential for
profit, it is also true that consumers are likely to benefit by
receiving products that are more well-suited to their needs.
Advertising frequency and total quantity could be reduced
by two positive deliverables of neuromarketing. The first is
that more effective ads are created, reducing the need for
high ad volume (Stallen et al. 2010). The second is that
new segments of consumers are identified via neuromarketing intelligence, and those consumers can be targeted
more directly and selectively (Venkatraman et al. 2012).
Another potential advantage from neuromarketing concerns treatment for addiction. Compulsive buying disorder
is an affliction for a small group of consumers (Black
2007). Some critics fear that neuromarketing might spread
and worsen this disorder. On the other side, however, it has
been proposed that neuroscience techniques can help us
gain deeper insights into neurobiological mechanisms of
compulsive purchasing. These insights could in turn enable
us to develop medical and pharmacological treatments to
help those with problems (Black et al. 2000; Fortunato
et al. 2014). The idea that neuroscience techniques could
illuminate clinical pathologies related to compulsive buying may lead academics in the area of neuromarketing to
pursue research funding from the National Institutes of
Health based on its clinical relevance to a recognized
behavioral disorder. This application would not only
increase the research capacity of neuromarketing, but also
ensure that neuromarketing approaches could be used to
benefit consumers and buffer against the potential for
negative outcomes mentioned earlier in this article.
Lastly, neuroscience techniques can also be used to
enhance public safety campaigns, which are essentially
marketing campaigns in the interest of the public. For
example, Falk et al. (2013) used fMRI to study which areas
of the brain were most active in response to messages that
were most likely to be socially spread. From this research,
future public service announcements and campaigns could
be assessed and filtered based on their likelihood of
transmitting the core content of the public safety campaign.
Through such positive uses, neuromarketing has significant
potential for good, despite its ethical dangers. Nonetheless,
the aforementioned concerns—regarding the protection of
subjects, methodological rigor, and so on—still need to be
accommodated for the pro-social benefits of neuromarketing to be fully realized.
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